Metabonomic profiling of liver metabolites by gas chromatography-mass spectrometry and its application to characterizing hyperlipidemia

Biomedical Chromatography

Volumn 24, Issue 3, 2010, Pages 245-252

  Gu, Shenghua ^a   Jiye, A ^a   Wang, Guangji ^a   Zha, Weibin ^a   Yan, Bei ^a   Zhang, Ying ^a   Ren, Hongcan ^a   Cao, Bei ^a   Liu, Linsheng ^a  

^a CHINA PHARMACEUTICAL UNIVERSITY   (China)

Author keywords

Gas chromatography time of flight mass spectrometry (GC TOF MS); Hamster; Hyperlipidemia; Metabolites in liver; Metabonomics

Indexed keywords

BIOMOLECULES; BODY FLUIDS; DESIGN OF EXPERIMENTS; DISCRIMINANT ANALYSIS; EXTRACTION; HISTOLOGY; LEAST SQUARES APPROXIMATIONS; MASS SPECTROMETRY; METABOLITES; PRINCIPAL COMPONENT ANALYSIS; TISSUE; TISSUE ENGINEERING;

BIOFLUIDS; GAS CHROMATOGRAPHY TIME OF FLIGHT MASS SPECTROMETRY; GASCHROMATOGRAPHY-MASS SPECTROMETRY; HAMSTER; HYPERLIPIDEMIA; ITS APPLICATIONS; MEASUREMENTS OF; METABOLITE IN LIVER; METABONOMICS; TIME OF FLIGHT MASS SPECTROMETRY;

GAS CHROMATOGRAPHY;

3 HYDROXYBUTYRIC ACID; ALANINE; BIOLOGICAL MARKER; CAMPESTEROL; CHOLESTEROL; CREATININE; CYSTEINE; DOCOSAHEXAENOIC ACID; HYPOXANTHINE; INOSINE; LAURIC ACID; METHANOL; ORGANIC SOLVENT; ORNITHINE; PHENYLALANINE; THREONINE; URACIL; WATER;

ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; EXTRACTION; HAMSTER; HYPERLIPIDEMIA; LIVER METABOLISM; MALE; MASS FRAGMENTOGRAPHY; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; METABONOMIC; NONHUMAN; QUANTITATIVE ANALYSIS;

ANIMALIA; CRICETINAE;

EID: 76149142164     PISSN: 02693879     EISSN: 10990801     Source Type: Journal    
DOI: 10.1002/bmc.1279     Document Type: Article

References (35)

1. A J, Trygg J, Gullberg J, Johansson A, Jonsson P, Antti H, Marklund S and Moritz T. Extraction and GC/MS analysis of the human blood plasma metabolome. Analytical Chemistry 2005; 77: 8086-8094.
2. Browning JD and Horton JD. Molecular mediators of hepatic steatosis and liver injury. Journal of Clinical Investigations 2004; 114: 147-152.
3. Cequier-Sánchez E, Rodríguez C, Ravelo AG and Zárate R. Dichloromethane as a solvent for lipid extraction and assessment of lipid classes and fatty acids from samples of different natures. Journal of Agriculture and Food Chemistry 2008; 56: 4297-4303.
4. Dawson RM and Eichberg J. Diphosphoinositide and triphosphoinositide in animal tissues. Extraction, estimation and changes post mortem. Biochemistry Journal 1965; 96: 634-643.
5. Denkert C, Budczies J, Kind T, Weichert W, Tablack P, Sehouli J, Niesporek S, Konsgen D, Dietel M and Fiehn O. Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors. Cancer Research 2006; 66: 10795-10804.
6. Eriksson L, Johansson E, Kettaneh-Wold N, Wikstrom C and Wold S. Design of Experiments. Umetrics AB: Umeå, 2000.
7. Fancy SA, Beckonert O, Darbon G, Yabsley W, Walley R, Baker D, Perkins GL, Pullen FS and Rumpel K. Gas chromatography/flame ionisation detection mass spectrometry for the detection of endogenous urine metabolites for metabonomic studies and its use as a complementary tool to nuclear magnetic resonance spectroscopy. Rapid Communications in Mass Spectrometry 2006; 20: 2271-2280.
8. Gullberg J, Jonsson P, Nordström A, Sjöström M and Moritz T. Design of experiments: an efficient strategy to identify factors influencing extraction and derivatization of Arabidopsis thaliana samples in metabolomic studies with gas chromatography/mass spectrometry. Analytical Biochemistry 2004; 331: 283-295.
9. Holmes E, Wilson ID and Nicholson JK. Metabolic phenotyping in health and disease. Cell 2008; 134: 714-717.
10. Kimball E and Rabinowitz JD. Identifying decomposition products in extracts of cellular metabolites. Analytical Biochemistry 2006; 358:273-280.
11. Kitano H. Systems biology: a brief overview. Science 2002; 295:1662-1664.
12. Kleemann R, Verschuren L, van Erk MJ, Nikolsky Y, Cnubben NH, Verheij ER, Smilde AK, Hendriks HF, Zadelaar S, Smith GJ, Kaznacheev V, Nikolskaya T, Melnikov A, Hurt-Camejo E, van der Greef J, van Ommen B and Kooistra T. Atherosclerosis and liver inflammation induced by increased dietary cholesterol intake: a combined transcriptomics and metabolomics analysis. Genome Biology 2007; 8:R200.
13. Koek MM, Muilwijk B, van der Werf MJ and Hankemeier T. Microbial metabolomics with gas chromatography/mass spectrometry. Analytical Chemistry 2006; 78: 1272-1281.
14. Laffitte BA, Chao LC, Li J, Walczak R, Hummasti S, Joseph SB, Wilpitz DC, Mangelsdorf DJ, Collis JL, Saez E and Tontonoz P. Activation of liver X receptor improves glucose tolerance through coordinate regulation of glucose metabolism in liver and adipose tissue. Proceedings of the National Academy of Science USA 2003; 100: 5419-5424.
15. 1H-NMR spectroscopy. NMR and Biomedicine 2002; 15: 37-44.
16. Lindon JC, Nicholson JK, Holmes E, Antti H, Bollard ME, Keun H, Beckonert O, Ebbels TM, Reily MD, Robertson D, Stevens GJ, Luke P, Breau AP, Cantor GH, Bible RH, Niederhauser U, Senn H, Schlotterbeck G, Sidelmann UG, Laursen SM, Tymiak A, Car BD, Lehman-McKeeman L, Colet JM, Loukaci A and Thomas C. Contemporary issues in toxicology the role of metabonomics in toxicology and its evaluation by the COMET project. Toxicology and Applied Pharmacology 2003; 187:137-146.
17. Lu Y, A J, Wang G, Hao H, Huang Q, Yan B, Zha W, Gu S, Ren H, Zhang Y, Fan X, Zhang M and Hao K. Gas chromatography/time-of-flight mass spectrometry based metabonomic approach to diff erentiating hypertension- and age-related metabolic variation in spontaneously hypertensive rats. Rapid Communications in Mass Spectrometry 2008;22: 2882-2886.
18. Miura D, Tanaka H and Wariishi H. Metabolomic diff erential display analysis of the white-rot basidiomycete Phanerochaete chrysosporium grown under air and 100% oxygen. FEMS Microbiology Letters 2004;34: 111-116.
19. Nicholson JK, Lindon JC and Holmes E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica 1999; 29: 1181-1189.
20. Nicholson JK, Connelly J, Lindon JC and Holmes E. Metabonomics: a platform for studying drug toxicity and gene function. Nature Reviews: Drug Discovery 2002; 1: 153-161.
21. Nistor A, Bulla A, Filip DA and Radu A. The hyperlipidemic hamster as a model of experimental atherosclerosis. Atherosclerosis 1987; 68:159-173.
22. O'Hagan S, Dunn WB, Brown M, Knowles JD and Kell DB. Closed-loop, multiobjective optimization of analytical instrumentation: gas chromatography/ time-of-fl ight mass spectrometry of the metabolomes of human serum and of yeast fermentations. Analytical Chemistry 2005; 77: 290-303.
23. Recinos A, Carr BK, Bartos DB, Boldogh I, Carmical JR, Belalcazar LM and Brasier AR. Liver gene expression associated with diet and lesion development in atherosclerosis-prone mice: induction of components of alternative complement pathway. Physiological Genomics 2004; 19: 131-142.
24. Robertson DG, REily MD, Sigler RE, Well DF, Paterson DA and Braden TK. Metabonomics: evaluation of nuclear magnetic resonance (NMR) and pattern recognition technology for rapid in vivo screening of liver and kidney toxicants. Toxicology Science 2000; 57: 326-337.
25. Serkova NJ, Jackman M, Brown JL, Liu T, Hirose R, Roberts JP, Maher JJ and Niemann CU. Metabolic profiling of livers and blood from obese Zucker rats. Journal of Hepatology 2006; 44: 956-962.
26. Shockcor JP and Holmes E. Metabonomic applications in toxicity screening and disease diagnosis. Current Topics in Medical Chemistry 2002; 1:35-51.
27. Tilvis RS and Miettinen TA. Serum plant sterols and their relation to cholesterol absorption. American Journal of Clinical Nutrition 1986; 43:92-97.
28. Toye AA, Dumas ME, Blancher C, Rothwell AR, Fearnside JF, Wilder SP, Bihoreau MT, Cloarec O, Azzouzi I, Young S, Barton RH, Holmes E, McCarthy MI, Tatoud R, Nicholson JK, Scott J and Gauguier D. Subtle metabolic and liver gene transcriptional changes underlie dietinduced fatty liver susceptibility in insulin-resistant mice. Diabetologia 2007; 50: 1867-1879.
29. van Ginneken V, Verhey E, Poelmann R, Ramakers R, van Dijk KW, Ham L, Voshol P, Havekes L, Van Eck M and van der Greef J. Metabolomics (liver and blood profiling) in a mouse model in response to fasting: a study of hepatic steatosis. Biochimica Biophysica Acta 2007; 1771:1263-1270.
30. 1H nuclear magnetic resonance spectroscopy. Methods in Molecular Biology 2007; 358: 229-246.
31. Villas-Boas SG, Hojer-Pedersen J, Akesson M, Smedsgard J and Nielsen J. Global metabolite analysis of yeast: evaluation of sample preparation methods. Yeast 2005; 22: 1155-1166.
32. Wang WQ and Gustafson A. Erythrocyte lipid extraction in alcohol-chloroform systems: a comparative study. Acta Chemica Scandinavica 1994; 48: 753-758.
33. Want EJ, O'Maille G, Smith CA, Brandon TR, Uritboonthai W, Qin C, Trauger SA and Siuzdak G. Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry. Analytical Chemistry 2006, 78: 743-752.
34. Waters NJ, Holmes E, Waterfi eld CJ, Farrant RD and Nicholson JK. NMR and pattern recognition studies on liver extracts and intact livers from rats treated with a-naphthylisothiocyanate. Biochemical Pharmacology 2002; 64: 67-77.
35. Wu H, Southam AD, Hines A and Viant MR. High-throughput tissue extraction protocol for NMR- and MS-based metabolomics. Analytical Biochemistry 2008; 372: 204-212.